High circulating microRNA-197 levels are associated with an increased risk of incident stroke among elderly survivors of the Great East Japan Earthquake

the RIAS study group

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Background: Incidence of ischemic stroke increased after natural disasters. Therefore, it is important to establish a means of identifying high-risk populations for incident stroke. We performed a prospective cohort study to examine whether these three cardiovascular disease-related miRNAs (miR-126, miR-197, and miR-223) are associated with incident stroke among elderly survivors of the Great East Japan Earthquake. Method: This cohort study was conducted using the data of 1192 survivors of the Great East Japan Earthquake over 60-years old who underwent a health check-up in December 2011. We followed up participants to record stroke cases until the end of 2016. We measured serum miRNAs by quantitative real-time polymerase chain reaction. HRs for incident stroke were estimated by Cox proportional hazard regression analyses. Result: The serum miR-197 level was significantly associated with the incident stroke; the HR per one standard deviation change in the miR-197 level was 1.65 (95% confidence interval: 1.19 − 2.30). In contrast, the levels of miR-126 and miR-223 were not associated with the incident stroke. Conclusion: We found that a higher miR-197 level is associated with an increased risk of incident stroke; thus, miR-197 is expected to be useful as a predictive biomarker.

Original languageEnglish
Pages (from-to)368-375
Number of pages8
JournalBiomarkers
Volume29
Issue number6
DOIs
Publication statusPublished - 2024

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Clinical Biochemistry
  • Health, Toxicology and Mutagenesis

Fingerprint

Dive into the research topics of 'High circulating microRNA-197 levels are associated with an increased risk of incident stroke among elderly survivors of the Great East Japan Earthquake'. Together they form a unique fingerprint.

Cite this